CN-121995028-A - Offline quick-check management system and method for outsourced coal

CN121995028ACN 121995028 ACN121995028 ACN 121995028ACN-121995028-A

Abstract

The application relates to an off-line quick detection management system and method for outsourcing coal, wherein the system comprises sampling vehicles, a dispatching platform and an off-line quick detection system, wherein the sampling vehicles are used for responding to sampling tasks, generating corresponding sampling paths and running to a target area along the sampling paths to execute corresponding sampling actions, the dispatching platform is used for generating the sampling tasks based on outsourcing orders, predicting the sampling efficiency of each sampling vehicle based on the sampling tasks and state data of each sampling vehicle, determining at least one target sampling vehicle based on the sampling efficiency so as to send the sampling tasks to the at least one target sampling vehicle, and the off-line quick detection system is used for detecting target samples to obtain coal quality detection results. Therefore, the technical problems that in the related technology, the coal quality detection links are more, the process is complex, the management difficulty is high, the labor cost is high, and the follow-up production is affected are solved.

Inventors

FENG KUI
ZHAO WEIYI
XU FEI
ZHANG QIANG
CHEN DEREN
WANG SEN
SHENG XIN
WANG QINGZHAO

Assignees

国能南京煤炭质量监督检验有限公司

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (10)

1. An off-line quick inspection management system for outsourced coal, comprising: The sampling vehicle is used for responding to the sampling task, generating a corresponding sampling path, and executing a corresponding sampling action when the sampling vehicle runs to a target area along the sampling path; The scheduling platform is used for generating the sampling tasks based on outsourcing orders, predicting the sampling efficiency of each sampling vehicle based on the sampling tasks and the state data of each sampling vehicle, and determining at least one target sampling vehicle based on the sampling efficiency so as to send the sampling tasks to at least one target sampling vehicle; And the off-line quick detection system is used for detecting the target sample to obtain a coal quality detection result.
2. The system of claim 1, wherein the sampling cart comprises: The first acquisition module is used for acquiring a target sample and acquiring vibration data, temperature data, humidity data and image data of the target sample in the sampling process so as to generate corresponding sampling data; the judging module is used for judging whether the target sample meets the preset sampling qualification condition or not by combining the vibration data, the temperature data, the humidity data and the image data to obtain a judging result; And the sampling module is used for controlling the target sampling vehicle which is judged to not meet the preset sampling qualification condition to take a new target sample.
3. The system of claim 2, further comprising: And the verification platform is used for responding to the sampling task, identifying the identification information of at least one target sampling vehicle, verifying at least one target sampling vehicle by combining the identification information, the sampling task and the personnel identification of sampling personnel to obtain a verification result, and prohibiting the target sampling vehicle, the verification result of which does not meet the preset verification passing condition, from executing the sampling action.
4. The system of claim 3, wherein the offline fast check management system for outsourced coal is a coalition chain architecture to correlate the sampling tasks, the sampling data, the determination results, the coal quality detection results, and the verification results and store the results in a blockchain of the offline fast check management system for outsourced coal.
5. The system of claim 4, wherein the scheduling platform comprises: The second acquisition module is used for acquiring the state data of each sampling vehicle and the historical task completion efficiency; the third acquisition module is used for acquiring current environment information; The prediction module is used for calculating estimated sampling time and estimated resource consumption of each sampling vehicle based on the residual sample capacity, the position information, the equipment running state information, the historical task completion efficiency, the current environment information, the outsourcing order and a pre-constructed scheduling prediction model in the state data; And the scheduling module is used for determining at least one target sampling vehicle based on the estimated sampling time and the estimated resource consumption and generating a sampling task of at least one target sampling vehicle.
6. The system of claim 4, wherein the scheduling platform comprises: The analysis module is used for acquiring the coal quality detection result from the blockchain, analyzing the coal quality detection result to obtain an analysis result, judging whether the target sample meets a preset abnormal condition or not by utilizing the analysis result, triggering a rechecking signal to obtain a rechecking result of the target sample if the target sample meets the preset abnormal condition, generating an audit report of the target sample by combining the analysis result and/or the rechecking result, and uploading the audit report to the blockchain; The tracing module is used for acquiring a sampling task, sampling data, a judging result and a checking result of a target sample meeting the preset abnormal condition from the blockchain so as to judge whether the target sample meeting the preset abnormal condition meets the preset sampling abnormal condition or not, tracing the sampling abnormal data under the condition of meeting the preset sampling abnormal condition, and determining a fault source of the offline quick-check management system of the outsourced coal; The first optimization module is used for acquiring sampling tasks, sampling data, judging results and checking results of the target samples which do not meet the preset abnormal conditions from the blockchain so as to calculate comprehensive sampling scores of the target samples which do not meet the preset abnormal conditions, and optimizing the scheduling prediction model by utilizing the comprehensive sampling scores.
7. The system of claim 4, wherein the scheduling platform comprises: the fourth acquisition module acquires the actual sampling time and the actual resource consumption of at least one sampling vehicle for completing the sampling task; And the second optimization module is used for optimizing the scheduling prediction model by utilizing the actual sampling time and the actual resource consumption.
8. An offline quick-check management method for outsourced coal, which is applied to the offline quick-check management system for outsourced coal according to any one of claims 1 to 7, wherein the method comprises the following steps: generating a sampling task based on an outsourcing order, predicting the sampling efficiency of each sampling vehicle based on the sampling task and the state data of each sampling vehicle, and determining at least one target sampling vehicle based on the sampling efficiency so as to send the sampling task to at least one target sampling vehicle; Controlling at least one target sampling vehicle to respond to the sampling task, generating a corresponding sampling path, and running to a target area along the sampling path to execute a corresponding sampling action; and detecting the target sample to obtain a coal quality detection result.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of offline quick check management of outsourced coal of claim 8.
10. A computer-readable storage medium storing computer instructions for causing the computer to perform the method of offline quick check management of outsourced coal according to claim 8.

Description

Offline quick-check management system and method for outsourced coal Technical Field The application relates to the technical field of data management, in particular to an offline quick-check management system and method for outsourced coal. Background In the related art, the coal quality detection needs to be carried out through processes such as sampling, sample preparation, assay and the like, the links are many, the process is complex, the detection time is too long (more than 24 hours), and the collecting and preparing process personnel participate in many links, so that the safety risk and the cheap hidden danger exist. In the sampling link, the bulk station still takes manual sampling as a main part, only coal samples on the surface of coal can be collected, deep coal samples can not be collected, manual sampling is required to strictly conform to national standard requirements, and sampling representativeness is poor. The whole management flow is not uniform, and the operation flow is split. The labor intensity of manual sampling is overlarge, the automation degree is low, the time deficiency of the manual sampling is made up by only relying on 24-hour all-weather operation mode in order to meet the daily average receiving and discharging amount, and the increment of 24-hour operators is more, the intensity is higher, the night safety operation coefficient is lower, so that improvement is needed. Disclosure of Invention The application provides an offline quick-detection management system and method for outsourced coal, which are used for solving the technical problems of more coal quality detection links, complex process, high management difficulty and high labor cost in the related art, and further influencing subsequent production. The embodiment of the first aspect of the application provides an off-line quick detection management system for outsourcing coal, which comprises sampling vehicles, a scheduling platform and an off-line quick detection system, wherein the sampling vehicles are used for responding to sampling tasks, generating corresponding sampling paths and running to a target area along the sampling paths to execute corresponding sampling actions, the scheduling platform is used for generating the sampling tasks based on outsourcing orders, predicting the sampling efficiency of each sampling vehicle based on the sampling tasks and the state data of each sampling vehicle, determining at least one target sampling vehicle based on the sampling efficiency so as to send the sampling tasks to at least one target sampling vehicle, and the off-line quick detection system is used for detecting target samples to obtain coal quality detection results. According to the technical means, the embodiment of the application can generate sampling tasks according to outsourcing orders through the scheduling platform, so as to schedule the sampling vehicles in combination with the states of the sampling vehicles, so as to arrange the target sampling vehicles to collect and transport samples, and the offline quick-inspection system is convenient for inspecting the samples through the transportation of the target sampling vehicles, thereby realizing full-flow intelligent management, reducing manual intervention and improving sampling efficiency and data accuracy. Optionally, in one embodiment of the present application, a first obtaining module is configured to collect a target sample, and obtain vibration data, temperature data, humidity data, and image data of the target sample in a sampling process to generate corresponding sampling data, a judging module is configured to judge whether the target sample meets a preset sampling qualification condition by combining the vibration data, the temperature data, the humidity data, and the image data, to obtain a judging result, and a sampling module is configured to control a target sampling vehicle that does not meet the preset sampling qualification condition to take a new target sample. According to the technical means, the embodiment of the application can judge whether the sampling of the target sampling vehicle is qualified according to the sampling data in the sampling process, and resample the sampling vehicle under the condition of disqualification, so that the disqualification sample is prevented from flowing into the next process, and the inspection efficiency is accelerated. Optionally, in one embodiment of the present application, the system further includes a verification platform, configured to identify identification information of at least one target sampling vehicle in response to the sampling task, verify at least one target sampling vehicle in combination with the identification information, the sampling task, and a person identifier of a sampling person, obtain a verification result, and prohibit the target sampling vehicle whose verification result does not satisfy a preset verification passing condition from performing the sampling acti